Curated by
Vivian Gomes
,
Chief Design Officer, SHNORH
Chief Design Officer | Human-Centered Design Strategist | Responsible AI Evangelist | Web3 | AI Startup Founder
Course Description
Learn a structured problem-solving method which seamlessly integrates generative AI with Human-Centered Design (HCD) and Design Sprint.This course focuses on identifying, creating, and testing innovative solutions using AI tools. Led by experienced design sprint masters and AI specialists, this collaborative workshop helps participants identify valuable areas for user-centered AI solutions and AI-based process automation. This programme teaches a combination of HCD, Design Sprint, and Generative AI to help participants understand AI's potential in building compelling value propositions and solution development.
Target Audience
- Decision Makers: Leaders driving strategic and operational outcomes.
- Industrial Designers: Innovators crafting functional and aesthetic solutions.
- General Managers: Overseeing operations to align with business goals.
- UX & UI Designers: Professionals integrating AI into user-centric design workflows.
- IT Project Managers: Coordinators ensuring seamless project execution in tech environments.
- Newcomers & Freshers: Beginners stepping into the world of interface design.
- Product Managers: Visionaries managing product development and strategy.
Course Outcomes
By the end of this course, you will be able to:
- Analyze problems from business, user, competitor, and technological standpoints.
- Create problem statements with specific context and desired outcomes, including AI value propositions.
- Develop user-centered AI solutions through various inspirations and process automation.
- Build high-fidelity prototypes with AI functionalities.
- Design and conduct experiments to validate solutions and reduce risk of project failure.
Course Curriculum
Day 1
3 Modules
Module 1: Understand
- Introduction to Design Sprint
- Rules for Design Sprint
- Who, What, When, Where, and Why?
- Ethical implications of AI and responsible use
- Key risks and AI potential identification
Day 2
3 Modules
Module 2: Define
- How Might We (HMW)
- Affinity Mapping for HMW
- Journey Map creation
- AI-enhanced understanding and refinement
Day 3
3 Modules
Module 3: Sketch & Decide
- Lightning Demos
- Crazy 8 (hand drawn and AI sketching)
- Using AI for radical solutioning
- Solution Sketch
- Storyboarding
Day 4
3 Modules
Module 4: Prototype
- Introduction to prototyping
- Building realistic products with simulated AI functionality
- Team role assignment for prototype development
Day 5
3 Modules
Module 5: Test and Final Presentation
- Testing for user feedback on AI solutions
- Presentation of test results and modifications
- Individual debriefing and presentation
- AI analytics and Key takeaways
- Final Notes
3 Modules
3 Modules
3 Modules
3 Modules
3 Modules
Instructor
Vivian Gomes
Chief Design Officer, SHNORH
Vivian Gomes is the Co-Founder and CEO of SHNORH, USA internationally well-known Futuristic Design Leader, Innovation Evangelist, Certified IBM Design Thinking Coach, UXQCC Trainer, Certified Adult Education Trainer and Google Sprint Trainer. Vivian is a Board member at UXQCC (Austria) and a UX, Design mentor on Google for Startups, initiating innovation and implementing design within organizations to lead and foster a collaborative environment. He has regularly trained professionals in industries such as fintech, BFSI, retail, oil & gas, smart cities, analytics, data Science, healthcare, eComm, delivery, startups, wearables, AR/VR, AI, voice, engineering and the automotive industry.
PhD Computer Science
Former Lead Data Scientist, Tech Corp
Author, Modern Data Science practice
Connect with me through
Frequently Asked Questions
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What experience do I need?
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This is a beginner level course and can be attended by anyone with proficiency in English.
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Where do the classes take place?
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This is an online cohort based class, Attendees will be sent an invite to a Microsoft teams group where the classes will be held.
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How are assignments and assessments submitted?
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Trainers will determine the format of assignments and assessments, which may include one-on-one online evaluations and group projects. All work must be submitted by specified deadlines.
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Additional Information
What's Included
- Consulting sessions with trainers.
- Access to our AADS LinkedIn community.
- Exclusive mentor network.
- Relevant AI fundamentals.
Prerequisites
- Basic computer skills (Familiarity with a browser).
- Familiarity with digital whiteboards (Such as Mural).
- Ensure your calendar is blocked for the course duration.
Certification
You’ll earn a program completion certificate accredited by University of Design, San Francisco, CA USA, when you successfully earn a grade of B (3.0) or higher in this program.
Accredited by
